[英]Getting parsable data from rrdtool graph
I want to extract some hourly data from rrdtool
databases in order to create some graphs within a dashboard system. 我想从rrdtool
数据库中提取一些每小时数据,以便在仪表板系统中创建一些图形。
These databases don't have an hourly datasource, the closest is a 30-min datasource (they are generated by munin) 这些数据库没有每小时的数据源,最接近的是30分钟的数据源(它们是由munin生成的)
Now, I can use rrdfetch
, but that doesn't do the nice averaging that rrdgraph
would do, so something like this 现在,我可以使用rrdfetch
,但这并没有做到rrdgraph
所做的很好的平均,所以像这样的东西
rrdtool fetch xxx-apache_accesses-accesses80-d.rrd AVERAGE \
--resolution 3600 -s 1328458200 -e 1328544600
Might give me 30 min data points like this 可能会给我这样的30分钟数据点
2012-Feb-05 16:30:00 3.5376357135e+00
2012-Feb-05 17:00:00 3.4655067194e+00
2012-Feb-05 17:30:00 4.0483210375e+00
2012-Feb-05 18:00:00 4.3210061422e+00
....
I could average those, but it seems that rrdgraph
can output parsable text, but I can't figure out the correct incantation. 我可以平均那些,但似乎rrdgraph
可以输出可解析的文本,但我无法弄清楚正确的咒语。 Here's what I've tried 这是我尝试过的
rrdtool graph dummy.png -s 1328523300 -e 1328609700 \
DEF:access=xxx-apache_accesses-accesses80-d.rrd:42:AVERAGE \
"PRINT:access:AVERAGE: %5.1lf %S"
outputs 输出
0x0
4.7
Now I think that's simply the average for the period given, but is there any way to get rrdtool
to spit out an average for particular chunks or step sizes? 现在我认为这只是给定时间段的平均值,但有没有办法让rrdtool
吐出特定块或步长的平均值? I tried --step
but this did not change the output. 我试过--step
但这没有改变输出。
I could call rrdtool graph
for each data point I need, but that seems rather wasteful. 我可以为我需要的每个数据点调用rrdtool graph
,但这看起来相当浪费。
No sooner had I posted than I hit upon the right approach! 我刚发布的消息比我找到了正确的方法!
rrdtool xport -s 1328523300 -e 1328609700 --step 3600 \
DEF:access=xxx-apache_accesses-accesses80-d.rrd:42:AVERAGE \
XPORT:access:"average"
This gives me the dump I need... 这给了我需要的转储......
<?xml version="1.0" encoding="ISO-8859-1"?>
<xport>
<meta>
<start>1328526000</start>
<step>3600</step>
<end>1328612400</end>
<rows>25</rows>
<columns>1</columns>
<legend>
<entry>average</entry>
</legend>
</meta>
<data>
<row><t>1328526000</t><v>2.1949556516e+00</v></row>
<row><t>1328529600</t><v>2.0074586816e+00</v></row>
<row><t>1328533200</t><v>2.4574720485e+00</v></row>
<row><t>1328536800</t><v>3.4861890250e+00</v></row>
<row><t>1328540400</t><v>4.2725023347e+00</v></row>
<row><t>1328544000</t><v>6.2119548259e+00</v></row>
<row><t>1328547600</t><v>5.6709432075e+00</v></row>
<row><t>1328551200</t><v>6.1214185470e+00</v></row>
<row><t>1328554800</t><v>8.1137357347e+00</v></row>
<row><t>1328558400</t><v>5.8345894022e+00</v></row>
<row><t>1328562000</t><v>6.2264732776e+00</v></row>
<row><t>1328565600</t><v>6.1652113350e+00</v></row>
<row><t>1328569200</t><v>5.8851025574e+00</v></row>
<row><t>1328572800</t><v>5.4612112119e+00</v></row>
<row><t>1328576400</t><v>6.3908056120e+00</v></row>
<row><t>1328580000</t><v>6.0361776174e+00</v></row>
<row><t>1328583600</t><v>6.3164590113e+00</v></row>
<row><t>1328587200</t><v>6.0902986521e+00</v></row>
<row><t>1328590800</t><v>4.6756445168e+00</v></row>
<row><t>1328594400</t><v>3.9461916905e+00</v></row>
<row><t>1328598000</t><v>2.9449490046e+00</v></row>
<row><t>1328601600</t><v>2.4011760751e+00</v></row>
<row><t>1328605200</t><v>2.2187817639e+00</v></row>
<row><t>1328608800</t><v>2.1775208736e+00</v></row>
<row><t>1328612400</t><v>NaN</v></row>
</data>
</xport>
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